癫痫儿童屏幕暴露现状及相关因素分析

王淑静, 李燕, 胡梦珠, 朱应红, 崔乃雪

中国当代儿科杂志 ›› 2024, Vol. 26 ›› Issue (11) : 1202-1210.

PDF(623 KB)
HTML
PDF(623 KB)
HTML
中国当代儿科杂志 ›› 2024, Vol. 26 ›› Issue (11) : 1202-1210. DOI: 10.7499/j.issn.1008-8830.2404069
论著·临床研究

癫痫儿童屏幕暴露现状及相关因素分析

  • 王淑静1, 李燕2, 胡梦珠1, 朱应红3, 崔乃雪1
作者信息 +

Screen exposure status and related factors in children with epilepsy

  • WANG Shu-Jing, LI Yan, HU Meng-Zhu, ZHU Ying-Hong, CUI Nai-Xue
Author information +
文章历史 +

摘要

目的 了解癫痫儿童屏幕暴露现状,并分析屏幕暴露的影响因素,为癫痫患儿屏幕暴露管理提供科学依据。 方法 采用方便抽样法于2023年3—6月选取济南市两所三甲医院门诊或进行24 h脑电监测复诊的癫痫患儿275例,由其父亲或母亲进行问卷填写,收集癫痫儿童屏幕暴露、父母屏幕调节行为,以及患儿和家庭的相关资料。使用Wilcoxon秩和检验或Kruskal-Wallis H检验对患儿上学日和周末日均屏幕暴露时间及每日平均屏幕暴露时间进行单因素分析。使用多因素logistic回归分析探讨患儿屏幕暴露时间高于指南推荐标准(上学日日均屏幕暴露时间>1 h或周末日均>2 h)的危险因素。 结果 上学日日均屏幕暴露时长中位数为40 min,周末日均为120 min;23.1%(63/273)的患儿上学日日均屏幕暴露时间>1 h,42.5%(117/275)周末日均屏幕暴露时间>2 h。4例患儿在使用屏幕设备时癫痫发作。多因素logistic回归分析显示,患儿临睡前使用屏幕设备、父母受教育程度较低、照顾者与患儿一起讨论屏幕内容,以及患儿癫痫发作持续时间较长是屏幕暴露时间高于指南推荐标准的危险因素(P<0.05)。 结论 部分癫痫儿童屏幕暴露时间高于指南推荐标准;癫痫发作持续时间较长、父母受教育程度较低和放纵型数码教养与患儿屏幕暴露时间高于指南推荐标准密切相关,需对具备这些特征的家庭和患儿予以重视并给予健康教育。

Abstract

Objective To understand the status of screen exposure in children with epilepsy and analyze the influencing factors for screen exposure time, providing a scientific basis for managing screen exposure in these children. Methods A convenience sampling method was used to select 275 children with epilepsy from outpatient clinics or those undergoing 24-hour electroencephalogram monitoring at two tertiary hospitals in Jinan from March to June 2023. Their parents (fathers or mothers) completed a questionnaire to collect data on screen exposure, parental screen regulation behaviors, and related information about the children and their families. The Wilcoxon rank-sum test or the Kruskal-Wallis H test was used to conduct a univariate analysis of the average screen exposure time of children on school days and weekends, as well as the daily average screen exposure time. A multivariate logistic regression analysis was used to identify the risk factors for children whose screen exposure time exceeded the recommended guidelines (average screen exposure time on school days >1 hour or average on weekends >2 hours). Results The median screen exposure duration on school days was 40 minutes, while on weekends it was 120 minutes. Among the children studied, 23.1% (63/273) had average screen exposure time exceeding 1 hour on school days, and 42.5% (117/275) had average screen exposure time exceeding 2 hours on weekends. Four children experienced seizures while using screen devices. Multivariate logistic regression analysis indicated that using screen devices shortly before sleep, lower educational levels of parents, caregivers discussing screen content with children, and longer seizure durations in children were risk factors for exceeding recommended guidelines (P<0.05). Conclusions Some children with epilepsy have a screen exposure time exceeding the recommended guidelines. A longer seizure duration, lower parental education levels, and permissive digital parenting are closely associated with children's screen exposure time exceeding the recommended guidelines. Families and children exhibiting these characteristics should be prioritized for attention and health education.

关键词

癫痫 / 屏幕暴露 / 屏幕时间 / 家庭 / 儿童

Key words

Epilepsy / Screen exposure / Screen time / Family / Child

引用本文

导出引用
王淑静, 李燕, 胡梦珠, 朱应红, 崔乃雪. 癫痫儿童屏幕暴露现状及相关因素分析[J]. 中国当代儿科杂志. 2024, 26(11): 1202-1210 https://doi.org/10.7499/j.issn.1008-8830.2404069
WANG Shu-Jing, LI Yan, HU Meng-Zhu, ZHU Ying-Hong, CUI Nai-Xue. Screen exposure status and related factors in children with epilepsy[J]. Chinese Journal of Contemporary Pediatrics. 2024, 26(11): 1202-1210 https://doi.org/10.7499/j.issn.1008-8830.2404069

参考文献

1 Tombeau Cost K, Korczak D, Charach A, et al. Association of parental and contextual stressors with child screen exposure and child screen exposure combined with feeding[J]. JAMA Netw Open, 2020, 3(2): e1920557. PMID: 32022883. DOI: 10.1001/jamanetworkopen.2019.20557.
2 Madigan S, Browne D, Racine N, et al. Association between screen time and children's performance on a developmental screening test[J]. JAMA Pediatr, 2019, 173(3): 244-250. PMID: 30688984. PMCID: PMC6439882. DOI: 10.1001/jamapediatrics.2018.5056.
3 马莹, 苏彬彬, 霍家康, 等. 全国7省父母视屏时间和限制行为对6~17岁儿童青少年视屏时间的联合影响研究[J]. 中国儿童保健杂志, 2021, 29(10): 1063-1067. DOI: 10.11852/zgetbjzz2020-2213.
4 Janssen X, Martin A, Hughes AR, et al. Associations of screen time, sedentary time and physical activity with sleep in under 5s: a systematic review and meta-analysis[J]. Sleep Med Rev, 2020, 49: 101226. PMID: 31778942. PMCID: PMC7034412. DOI: 10.1016/j.smrv.2019.101226.
5 Tezol O, Yildiz D, Yalcin S, et al. Excessive screen time and lower psychosocial well-being among preschool children[J]. Arch Pediatr, 2022, 29(1): 61-66. PMID: 34758931. DOI: 10.1016/j.arcped.2021.10.003.
6 GBD 2016 Epilepsy Collaborators. Global, regional, and national burden of epilepsy, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016[J]. Lancet Neurol, 2019, 18(4): 357-375. PMID: 30773428. PMCID: PMC6416168. DOI: 10.1016/S1474-4422(18)30454-X.
7 Ding D, Zhou D, Sander JW, et al. Epilepsy in China: major progress in the past two decades[J]. Lancet Neurol, 2021, 20(4): 316-326. PMID: 33743240. DOI: 10.1016/S1474-4422(21)00023-5.
8 Song P, Liu Y, Yu X, et al. Prevalence of epilepsy in China between 1990 and 2015: a systematic review and meta-analysis[J]. J Glob Health, 2017, 7(2): 020706. PMID: 29302325. PMCID: PMC5737100. DOI: 10.7189/jogh.07.020706.
9 Gregory RP, Oates T, Merry RT. Electroencephalogram epileptiform abnormalities in candidates for aircrew training[J]. Electroencephalogr Clin Neurophysiol, 1993, 86(1): 75-77. PMID: 7678394. DOI: 10.1016/0013-4694(93)90069-8.
10 Hanif S, Musick ST. Reflex epilepsy[J]. Aging Dis, 2021, 12(4): 1010-1020. PMID: 34221545. PMCID: PMC8219495. DOI: 10.14336/AD.2021.0216.
11 Pohl D, Alpous A, Hamer S, et al. Higher screen time, lower muscular endurance, and decreased agility limit the physical literacy of children with epilepsy[J]. Epilepsy Behav, 2019, 90: 260-265. PMID: 30342878. DOI: 10.1016/j.yebeh.2018.05.010.
12 Lang J, Jeschke S, Herziger B, et al. Prejudices against people with epilepsy as perceived by affected people and their families[J]. Epilepsy Behav, 2022, 127: 108535. PMID: 35026561. DOI: 10.1016/j.yebeh.2021.108535.
13 ?elen Yolda? T, Günbey C, De?erliyurt A, et al. Behavioral problems of preschool children with new-onset epilepsy and one-year follow-up: a prospective study[J]. Epilepsy Behav, 2019, 92: 171-175. PMID: 30660968. DOI: 10.1016/j.yebeh.2018.12.025.
14 蔡立柏, 刘延锦, 孙箫音, 等. 青少年癫痫患者疾病感受和体验的质性研究[J]. 中华护理杂志, 2021, 56(1): 86-91. DOI: 10.3761/j.issn.0254-1769.2021.01.014.
15 Ren W, Zhu X. Parental mediation and adolescents' internet use: the moderating role of parenting style[J]. J Youth Adolesc, 2022, 51(8): 1483-1496. PMID: 35377097. PMCID: PMC8978487. DOI: 10.1007/s10964-022-01600-w.
16 Wang X, Wu Y, Yao C, et al. Correlates of preschoolers' screen time in China: parental factors[J]. BMC Pediatr, 2022, 22(1): 417. PMID: 35831817. PMCID: PMC9281098. DOI: 10.1186/s12887-022-03443-7.
17 Arundell L, Parker K, Timperio A, et al. Home-based screen time behaviors amongst youth and their parents: familial typologies and their modifiable correlates[J]. BMC Public Health, 2020, 20(1): 1492. PMID: 33004013. PMCID: PMC7528232. DOI: 10.1186/s12889-020-09581-w.
18 胡梦珠, 郝寅君, 崔乃雪. 祖辈参与教养与学龄前儿童屏幕暴露的关系[J]. 中国儿童保健杂志, 2023, 31(12): 1302-1307. DOI: 10.11852/zgetbjzz2023-0316.
19 单瑞洁, 韩静, 屈克丽, 等. 婴儿屏幕暴露的相关因素分析[J]. 中国儿童保健杂志, 2023, 31(4): 374-378. DOI: 10.11852/zgetbjzz2022-0829.
20 乐蕾. 匹配视角下青少年负性生活事件、心理资本与睡眠质量的关系[D]. 济南: 山东大学, 2023.
21 Council on Communication and Media. Media and young minds[J]. Pediatrics, 2016, 138(5): e20162591. PMID: 27940793. DOI: 10.1542/peds.2016-2591.
22 Sun GW, Shook TL, Kay GL. Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis[J]. J Clin Epidemiol, 1996, 49(8): 907-916. PMID: 8699212. DOI: 10.1016/0895-4356(96)00025-x.
23 Xie G, Deng Q, Cao J, et al. Digital screen time and its effect on preschoolers' behavior in China: results from a cross-sectional study[J]. Ital J Pediatr, 2020, 46(1): 9. PMID: 31973770. PMCID: PMC6979375. DOI: 10.1186/s13052-020-0776-x.
24 Chen JY, Strodl E, Wu CA, et al. Screen time and autistic-like behaviors among preschool children in China[J]. Psychol Health Med, 2021, 26(5): 607-620. PMID: 33227216. DOI: 10.1080/13548506.2020.1851034.
25 Chen L, Shi J. Reducing harm from media: a meta-analysis of parental mediation[J]. Journal Mass Commun Q, 2019, 96(1): 173-193. DOI: 10.1177/1077699018754908.
26 Benedetto L, Ingrassia M. Digital parenting: raising and protecting children in media world[M]//Benedetto L, Ingrassia M. Parenting—Studies by an Ecocultural and Transactional Perspective. Rijeka: IntechOpen, 2020: Ch. 8.
27 Valcke M, Bonte S, De Wever B, et al. Internet parenting styles and the impact on Internet use of primary school children[J]. Comput Educ, 2010, 55(2): 454-464. DOI: 10.1016/j.compedu.2010.02.009.
28 Lin YY, Lee WT, Yang HL, et al. Screen time exposure and altered sleep in young children with epilepsy[J]. J Nurs Scholarsh, 2020, 52(4): 352-359. PMID: 32396281. DOI: 10.1111/jnu.12558.
29 Konduru SS, Pan YZ, Wallace E, et al. Sleep deprivation exacerbates seizures and diminishes GABAergic tonic inhibition[J]. Ann Neurol, 2021, 90(5): 840-844. PMID: 34476841. PMCID: PMC8530964. DOI: 10.1002/ana.26208.
30 Pons M, Bennasar-Veny M, Ya?ez AM. Maternal education level and excessive recreational screen time in children: a mediation analysis[J]. Int J Environ Res Public Health, 2020, 17(23): 8930. PMID: 33271768. PMCID: PMC7730269. DOI: 10.3390/ijerph17238930.
31 Collier KM, Coyne SM, Rasmussen EE, et al. Does parental mediation of media influence child outcomes? A meta-analysis on media time, aggression, substance use, and sexual behavior[J]. Dev Psychol, 2016, 52(5): 798-812. PMID: 26914217. DOI: 10.1037/dev0000108.
32 Fisher RS, Acharya JN, Baumer FM, et al. Visually sensitive seizures: an updated review by the epilepsy foundation[J]. Epilepsia, 2022, 63(4): 739-768. PMID: 35132632. DOI: 10.1111/epi.17175.

基金

国家自然科学基金项目(3210070458)。

PDF(623 KB)
HTML

Accesses

Citation

Detail

段落导航
相关文章

/