儿童青少年电子设备使用时长与体重过度感知的关联

马奇; 张奕; 崔孟杰; 王鑫鑫; 刘婕妤; 陈曼曼; 马涛; 陈力; 董彦会; 马军; 星一

doi:10.16835/j.cnki.1000-9817.2023.03.011

儿童青少年电子设备使用时长与体重过度感知的关联

doi: 10.16835/j.cnki.1000-9817.2023.03.011

马奇¹,
张奕¹,
崔孟杰¹,
王鑫鑫²,
刘婕妤¹,
陈曼曼¹,
马涛¹,
陈力¹,
董彦会¹,
马军¹,
星一^1, ,

1.
北京大学公共卫生学院/儿童青少年卫生研究所，北京 100191
2.
宁夏医科大学公共卫生与管理学院

基金项目:

2012年卫生公益性行业科研专项项目 201202010

国家自然科学基金 91846302

详细信息

作者简介:
马奇(1997-)，女，云南省人，在读硕士，主要研究方向为儿童青少年生长发育及其影响因素

通讯作者:
星一, E-mail：cyrss@126.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 G625.5
计量
- 文章访问数: 407
- HTML全文浏览量: 202
- PDF下载量: 50
- 被引次数: 0
出版历程
- 收稿日期: 2022-10-04
- 修回日期: 2023-01-20
- 刊出日期: 2023-03-25

Association between time spent on digital devices and body weight overestimation in children and adolescents

1.
School of Public Health/Institute of Child and Adolescent Health, Peking University, Beijing(100191), China

摘要

摘要: 目的分析7~18岁儿童青少年电子设备使用时长与体重过度感知之间的关联，为儿童青少年体重过度感知的合理干预提供科学依据。方法利用2012年卫生行业公益性科研专项资料，采用分层整群随机抽样，选择中国的7个省(市)中信息完整的40 073名儿童青少年，使用有序多分类Logistic回归分析电子设备使用时长与儿童青少年体重过度感知的关联。结果儿童青少年体重过度感知的报告率为11.8%；体重过度感知组每天使用电子设备超过300 min的比例(5.12%)高于非过度感知组(3.84%)(χ²=19.14，P＜0.01)。单因素分析显示，电子设备使用时长＞300 min的儿童青少年出现体重过度感知的风险更大(OR=1.36，95%CI=1.18~1.57，P＜0.01)；多因素调整后，该关联仍有统计学意义(OR=1.28，95%CI=1.10~1.48，P＜0.05)。分层分析后，电子设备使用时长与体重过度感知之间的关联仅在女生、11~18岁年龄组和非独生子女组中具有统计学意义(P值均 < 0.05)。结论电子设备使用时长与儿童青少年体重过度感知相关，减少电子设备使用时长可能有助于改善该人群中体重过度感知问题。
- 视听设备 /
- 时间 /
- 体重 /
- 回归分析 /
- 儿童 /
- 青少年
Abstract: Objective To explore the association between digital devices usage and body weight overestimation in children and adolescents aged 7-18, in order to provide a scientific basis for body weight overestimation prevention in children and adolescents. Methods Based on the data of the Research Special Project for Public Welfare Industry of Health using stratified cluster sampling method in 2012, a tatal of 40 073 children and adolescents from 7 provinces with complete information were chosen. Ordinal multivariable Logistic regression model estimated the association between digital devices usage and body weight overestimation. Results A total of 4 276(11.8%) students with overestimation of body weight were detected, who spent >300 min/d time in digital devices(5.12%) than others (3.84%)(χ²=19.14, P < 0.01). Univariate analysis showed that students with time spent on digital devices >300 min/d had a higher risk in overestimation of body weight (OR=1.36, 95%CI=1.18-1.57, P < 0.01) compared with students who spent on digital devices≤120 min/d. There was still a significant association after confounder adjustment (OR=1.28, 95%CI=1.10-1.48, P < 0.05). Stratified analysis showed that the association between digital devices usage and overestimation of body weight were only observed in girls, 11-18 years old and non-single child(P < 0.05). Conclusion The time usage of digital devices is associated with overestimation of body weight in children and adolescents. It may helpful for children and adolescents to prevent overestimation of body weight by reducing time spent on digital devices.
- Audiovisual aids /
- Time /
- Body weight /
- Regression analysis /
- Child /
- Adolescent
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

HTML全文

表 1 是否体重过度感知儿童青少年基本情况分布比较

Table 1. Basic characteristics of children and adolescents in different status of perception of body weight

体重感知	人数	城乡			性别			电子设备使用时长/(min·d^-1)
体重感知	人数	城市	乡村		男生	女生		>300	>180~300	>120~180	≤120
过度	4 726	2 930(62.00)	1 796(38.00)		1 542(32.63)	3 184(67.37)		242(5.12)	395(8.36)	511(10.81)	3 578(75.71)
非过度	35 347	21 228(60.06)	14 119(39.94)		18 732(52.99)	16 615(47.01)		1 358(3.84)	2 882(8.15)	3 735(10.57)	27 372(77.44)
χ²值		6.56			691.75			19.14
P值		< 0.01			< 0.01			< 0.01

体重感知	人数	父亲文化程度			母亲文化程度			是否独生子女
体重感知	人数	初中及以下	高中及以上	不回答	初中及以下	高中及以上	不回答	是		否
过度	4 726	2 139(45.26)	2 544(53.83)	43(0.91)	2 346(49.64)	2 335(49.41)	45(0.95)	2 994(63.35)		1 732(36.65)
非过度	35 347	15 095(42.71)	20 007(56.60)	245(0.69)	16 479(46.62)	18 622(52.68)	246(0.70)	23 696(67.04)		11 651(32.96)
χ²值		14.74			20.41			25.47
P值		< 0.01			< 0.01			< 0.01
注：()内数字为构成比/%。

下载: 导出CSV

表 2 儿童青少年每天电子设备使用时长与其体重过度感知关联的分层分析[OR值(OR值95%CI)]

Table 2. Stratified analyses of association between electronic equipment use and over-perception of body weight in children and adolescents[OR (OR 95%CI)]

电子设备使用时长/(min·d^-1)	城乡		性别		年龄/岁
电子设备使用时长/(min·d^-1)	城市	乡村	男生	女生	7~10	11~14	15~18
>300	1.35(1.10~1.67)^*	1.22(0.98~1.52)	1.19(0.94~1.50)	1.38(1.13~1.68)^*	1.09(0.84~1.41)	1.32(1.05~1.66)^*	1.55(1.12~2.14)^*
>180~300	0.92(0.78~1.09)	1.20(1.02~1.42)	0.98(0.82~1.18)	1.09(0.94~1.26)	1.03(0.87~1.23)	1.04(0.86~1.25)	1.00(0.76~1.33)
>120~180	1.04(0.91~1.20)	1.22(1.05~1.42)^*	1.02(0.87~1.21)	1.17(1.03~1.34)^*	1.14(0.99~1.31)	1.03(0.85~1.24)	1.20(0.93~1.55)

电子设备使用时长/(min·d^-1)	父亲文化程度		母亲文化程度		是否独生子女
电子设备使用时长/(min·d^-1)	初中及以下	高中及以上	初中及以下	高中及以上	是		否
>300	1.27(1.05~1.54)^*	1.28(1.00~1.64)^*	1.22(1.01~1.47)^*	1.42(1.10~1.82)^*	1.19(0.98~1.46)		1.40(1.11~1.76)^*
>180~300	1.02(0.88~1.20)	1.07(0.90~1.28)	1.05(0.90~1.21)	1.04(0.86~1.25)	1.09(0.93~1.26)		0.98(0.82~1.18)
>120~180	1.03(0.89~1.19)	1.22(1.05~1.41)^*	1.09(0.95~1.25)	1.15(0.98~1.34)	1.10(0.96~1.25)		1.14(0.97~1.34)
注：对照组为电子设备使用时长≤120 min/d；模型调整了性别、年龄、城乡、父母文化程度、独生子女状态；*P < 0.05。

下载: 导出CSV

参考文献(22)

[1]	MARTINI M C S, ASSUMPÇÃO D, BARROS M B A, et al. Prevalence of body weight dissatisfaction among adolescents: a systematic review[J]. Rev Paul Pediatr, 2022, 41: e2021204.
[2]	付连国, 王海俊, 孙丽丽, 等. 正常体重儿童体像不满的影响因素分析[J]. 中华预防医学杂志, 2015, 49(5): 411-418. FU L G, WANG H J, SUN L L, et al. Analysis of influencing factors of body image dissatisfaction in normal weight children[J]. Chin J Prev Med, 2015, 49(5): 411-418. (in Chinese)
[3]	KWON S, KIM R, LEE J T, et al. Association of smartphone use with body image distortion and weight loss behaviors in Korean adolescents[J]. JAMA Netw Open, 2022, 5(5): e2213237. doi: 10.1001/jamanetworkopen.2022.13237
[4]	MBOGORI T, ARTHUR T M. Perception of body weight status is associated with the health and food intake behaviors of adolescents in the United States[J]. Am J Lifestyle Med, 2019, 15(3): 347-355.
[5]	LEE K H, BONG S H, KANG D H, et al. Association between weight misperception and some mental health-related characteristics in Korean adolescents[J]. Neuropsychiatr Dis Treat, 2020, 16: 3053-3062. doi: 10.2147/NDT.S286470
[6]	TAN Y L, LU W Y, GU W X, et al. Body weight, weight self-perception, weight teasing and their association with health behaviors among Chinese adolescents: the Shanghai youth health behavior survey[J]. Nurtrients, 2022, 14(14): 2931. doi: 10.3390/nu14142931
[7]	季为民. 互联网媒体与青少年: 基于近十年中国青少年互联网媒体使用调查的研究报告[J]. 青年记者, 2019(25): 9-14. https://www.cnki.com.cn/Article/CJFDTOTAL-QNJZ201925009.htm JI W M. Internet media and adolescents: a research report based on a survey of Internet media use among Chinese adolescents in the past decade[J]. Youth Journalist, 2019(25): 9-14. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QNJZ201925009.htm
[8]	YANG H, WANG J J, TNG G Y Q, et al. Effects of social media and smartphone use on body esteem in female adolescents: testing a cognitive and affective model[J]. Children (Basel), 2020, 7(9): 148.
[9]	SAMPASA-KANYINGA H, CHAPUT J P, HAMILTON H A. Use of social networking sites and perception and intentions regarding body weight among adolescents[J]. Obes Sci Pract, 2016, 2(1): 32-39. doi: 10.1002/osp4.26
[10]	UCHÔA F N M, UCHÔA N M, DANIELE T, et al. Influence of the mass media and body dissatisfaction on the risk in adolescents of developing eating disorders[J]. Int J Environ Res Public Health, 2019, 16(9): 1508. doi: 10.3390/ijerph16091508
[11]	中国学生体质与健康调研组. 2010年中国学生体质与健康调研报告[M]. 北京: 高等教育出版社, 2012: 31-86. Chinese Students Physique and Health Research Group. 2010 Chinese students physical fitness and health survey report[M]. Beijing: Higher Education Press, 2012: 31-86. (in Chinese)
[12]	国家卫生健康委员会. 传染病疫情居家隔离期间儿童青少年近视防控指南[A]. 2020-07-28. National Health Commission of the PRC. Guidelines for prevention and control of myopia in children and adolescents during home isolation of infectious diseases[A]. 2020-07-28. (in Chinese)
[13]	国家卫生和计划生育委员会. 学龄儿童青少年超重与肥胖筛查: WS/T 586—2018[S]. 2018-08-01. China's National Health and Family Planning Commission. Screening for overweight and obesity among school-age children and adolescents: WS/T 586-2018[S]. 2018-08-01. (in Chinese)
[14]	季成叶. 儿童少年卫生学[M]. 7版. 北京: 人民卫生出版社, 2012. JI C Y. Child and adolescent health[M]. 7 th. Beijing: People's Medical Publishing House, 2012. (in Chinese)
[15]	付连国, 王海俊, 李晓卉, 等. 儿童青少年体像不满与身体形态发育指标的关联分析[J]. 中国儿童保健杂志, 2014, 22(11): 1174-1178. doi: 10.11852/zgetbjzz2014-22-11-17 FU L G, WANG H J, LI X H, et al. Analysis on the correlation of body image dissatisfaction and body shape parameters among children and adolescents[J]. Chin J Child Health Care, 2014, 22(11): 1174-1178. (in Chinese) doi: 10.11852/zgetbjzz2014-22-11-17
[16]	BELL B T, LAWTON R, DITTMAR H. The impact of thin models in music videos on adolescent girls' body dissatisfaction[J]. Body Image, 2007, 4(2): 137-145. doi: 10.1016/j.bodyim.2007.02.003
[17]	DIEDRICHS P C, LEE C, KELLY M. Seeing the beauty in everyday people: a qualitative study of young Australians' opinions on body image, the mass media and models[J]. Body Image, 2011, 8(3): 259-266. doi: 10.1016/j.bodyim.2011.03.003
[18]	FARDOULY J, VARTANIAN L R. Negative comparisons about one's appearance mediate the relationship between Facebook usage and body image concerns[J]. Body Image, 2015, 12: 82-88. doi: 10.1016/j.bodyim.2014.10.004
[19]	De VRIES D A, PETER J, De GRAAF H, et al. Adolescents' social network site use, peer appearance-related feedback, and body dissatisfaction: testing a mediation model[J]. J Youth Adolesc, 2016, 45(1): 211-224.
[20]	GROSICK T L, TALBERT-JOHNSON C, MYERS M J, et al. Assessing the landscape: body image values and attitudes among middle school boys and girls[J]. Am J Health Educ, 2013, 44(1): 41-52.
[21]	LACROIX E, ATKINSON M J, GARBETT K M, et al. One size does not fit all: trajectories of body image development and their predictors in early adolescence[J]. Dev Psychopathol, 2022, 34(1): 285-294.
[22]	QUICK V, EISENBERG M E, BUCCHIANERI M M, et al. Prospective predictors of body dissatisfaction in young adults: 10-year longitudinal findings[J]. Emerg Adulthood, 2013, 1(4): 271-282.