青岛市城区7~12岁儿童不健康生活方式流行情况及影响因素

高玉婷, 单延春, 张冲, 杨琳琳, 李世纪, 杨召川

中国儿童保健杂志 ›› 2026, Vol. 34 ›› Issue (7) : 737-742.

PDF(1062 KB)
PDF(1062 KB)
中国儿童保健杂志 ›› 2026, Vol. 34 ›› Issue (7) : 737-742. DOI: 10.11852/zgetbjzz2025-1225
环境因素与儿童健康专栏

青岛市城区7~12岁儿童不健康生活方式流行情况及影响因素

  • 高玉婷, 单延春, 张冲, 杨琳琳, 李世纪, 杨召川
作者信息 +

Prevalence and associated factors of unhealthy lifestyles among urbanchildren aged 7 to 12 years in Qingdao

  • GAO Yuting, SHAN Yanchun, ZHANG Chong, YANG Linlin, LI Shiji, YANG Zhaochuan
Author information +
文章历史 +

摘要

目的 分析青岛市城区7~12岁儿童不健康生活方式的流行现状及其影响因素,为早期干预提供参考依据。方法 2023年9—11月采用随机整群抽样在青岛市城区抽取5所小学学生进行问卷调查,收集人口学特征及生活方式信息。依据既往文献与指南界定4类不健康生活方式:屏幕暴露过度、运动不足、睡眠不足和饮食不健康,描述不同水平的不健康生活方式的比例,比较不健康生活方式在不同人口特征中的分布差异,采用logistic回归分析影响不健康生活方式的因素。结果 共纳入有效问卷2 232份。青岛市城区7~12岁儿童中,57.2%存在2种及以上不健康生活方式。logistic回归分析显示,年龄较大与屏幕暴露过度相关(OR=1.194,95%CI:1.027~1.389);家庭收入低(OR=1.578,95%CI:1.007~2.475)和父亲学历为大学(OR=1.315,95%CI:1.012~1.710)与运动不足相关,独生子女与运动不足风险较低相关(OR=0.161,95%CI:0.132~0.196);年龄较大(OR=1.090,95%CI:1.022~1.163)和母亲学历为大学(OR=1.568,95%CI:1.174~2.094)与睡眠不足相关;年龄较大(OR=1.081,95%CI:1.014~1.153)和家庭收入低(OR=1.906,95%CI:1.144~3.173)与饮食不健康相关,女生发生饮食不健康的可能性较低(OR=0.716,95%CI:0.586~0.876);年龄较大(OR=1.171,95%CI:1.072~1.279)和家庭收入低(OR=2.622,95%CI:1.321~5.206)与多种不健康生活方式共存相关,女生(OR=0.678,95%CI:0.513~0.898)和独生子女(OR=0.295,95%CI:0.213~0.409)发生多种不健康生活方式共存的可能性较低。结论 青岛市城区7~12岁儿童不健康生活方式普遍存在,并与年龄、性别、独生子女及家庭社会经济因素相关。应针对高风险人群开展以减少久坐和屏幕暴露、促进规律运动与充足睡眠、改善饮食结构为核心的综合干预。

Abstract

Objective To investigate the prevalence of unhealthy lifestyles among urban children aged 7 - 12 years in Qingdao, and to identify associated demographic factors, so as to provide evidence for early intervention. Methods From September to November 2023, a cluster random sampling survey was conducted in five primary schools in urban Qingdao. Demographic characteristics and lifestyle-related behaviors were collected using questionnaires. Four unhealthy lifestyle domains were defined based on published evidence and guidelines: excessive screen exposure, insufficient physical activity, insufficient sleep, and unhealthy diet. Differences across demographic subgroups were compared, and logistic regression analysis was performed to explore associated factors. Results A total of 2 232 valid questionnaires were included. Overall, 57.2% of children had two or more unhealthy lifestyle behaviors. Logistic regression analyses showed that older age was associated with excessive screen exposure (OR=1.194, 95%CI: 1.027 - 1.389). Low family income (OR=1.578,95%CI: 1.007 - 2.475) and fathers with a college education (OR=1.315, 95%CI: 1.012 - 1.710) were associated with insufficient physical activity, whereas being an only child was associated with lower odds of insufficient physical activity (OR=0.161, 95%CI: 0.132 - 0.196). Older age (OR=1.090, 95%CI:1.022 - 1.163) and mothers with a college education (OR=1.568, 95%CI: 1.174 - 2.094) were associated with insufficient sleep. Older age (OR=1.081, 95%CI: 1.014 - 1.153) and low family income (OR=1.906, 95%CI: 1.144 - 3.173) were associated with unhealthy diet, while girls had lower odds of an unhealthy diet (OR=0.716, 95%CI: 0.586 - 0.876). Older age (OR=1.171, 95%CI: 1.072 - 1.279) and low family income (OR=2.622, 95%CI:1.321 - 5.206) were also associated with the coexistence of multiple unhealthy lifestyle behaviors, whereas girls (OR=0.678, 95%CI: 0.513 - 0.898) and only children (OR=0.295, 95%CI: 0.213 - 0.409) had lower risks of such coexisting behaviors. Conclusions Unhealthy lifestyles are prevalent among urban children aged 7 - 12 years in Qingdao, and are associated with age, sex, only-child status, and family socioeconomic factors. Comprehensive interventions targeting high-risk populations should be implemented, with a core focus on reducing sedentary screen time, promoting regular physical activity and adequate sleep, and improving dietary patterns.

关键词

生活方式 / 屏幕暴露 / 运动 / 饮食 / 睡眠 / 社会环境

Key words

lifestyle / screen exposure / physical activity / diet / sleep / social environment

引用本文

导出引用
高玉婷, 单延春, 张冲, 杨琳琳, 李世纪, 杨召川. 青岛市城区7~12岁儿童不健康生活方式流行情况及影响因素[J]. 中国儿童保健杂志. 2026, 34(7): 737-742 https://doi.org/10.11852/zgetbjzz2025-1225
GAO Yuting, SHAN Yanchun, ZHANG Chong, YANG Linlin, LI Shiji, YANG Zhaochuan. Prevalence and associated factors of unhealthy lifestyles among urbanchildren aged 7 to 12 years in Qingdao[J]. Chinese Journal of Child Health Care. 2026, 34(7): 737-742 https://doi.org/10.11852/zgetbjzz2025-1225
中图分类号: R179   

参考文献

[1] Uddin R, Lee EY, Khan SR, et al. Clustering of lifestyle risk factors for non-communicable diseases in 304 779 adolescents from 89 countries: A global perspective[J]. Prev Med, 2020, 131: 105955.
[2] 《中国人群身体活动指南》编写委员会.中国人群身体活动指南(2021)[J]. 中华流行病学杂志, 2022, 43(1): 5-6.
Composing and Editorial Board of Physical activity guidelines for Chinese. Physical Activity Guidelines for Chinese(2021)[J]. Chin J Epidemiol, 2022, 43(1): 5-6. (in Chinese)
[3] Bull FC, AI-Ansari SS, Biddle S, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour[J]. Br J Sports Med, 2020, 54(24): 1451-1462.
[4] 陈力,张奕,陈曼曼,等.中国汉族儿童和青少年人群不健康生活方式流行现状研究[J]. 中华心血管病杂志, 2022, 50(12): 1177-1185.
Chen L, Zhang Y, Chen MM, et al. Prevalence of unhealthy lifestyle among children and adolescents of Han nationality in China[J]. Chin J Cardiol, 2022, 50(12): 1177-1185. (in Chinese)
[5] GB/T 17223-2012.中小学生一日学习时间卫生要求[S].北京:国家卫生健康委员会, 中国国家标准化管理委员, 2012.
[6] 曾淳子,黄婕,马婕,等.广州市中小学生不良生活方式现状及影响因素分析[J].医学动物防制,2025, 41 (2): 153-156, 160.
Zeng CZ, Huang J, Ma J, et al. Analysis of the current situation and influencing factors of unhealthy lifestyle of primary and secondary school students in Guangzhou City[J]. J Med Pest Control, 2025, 41(2): 153-156, 160. (in Chinese)
[7] 龚艳彬,柴巍中.中国南方地区中学生不健康饮食行为现状及影响因素分析[J].中国食物与营养,2022, 28 (6): 72-77.
Gong YB, Chai WZ. Investigation on status and influencing factors of unhealthy eating behaviors among middle school students in Southern China[J]. Food and Nutrition in China, 2022, 28 (6): 72-77. (in Chinese)
[8] LeBourgeois MK, Hale L, Chang AM, et al. Digital media and sleep in childhood and adolescence[J]. Pediatrics, 2017, 140(Suppl 2): 92-96.
[9] Efa YT, Roder D, Shi Z, et al. Clustering patterns of unhealthy lifestyle behaviours among adolescents: A multilevel analysis of a nationally representative school-based survey from 73 countries[J]. Nutrients, 2025, 17(4).
[10] Li, Y, Fan X, Wei LF, et al. The impact of high-risk lifestyle factors on all-cause mortality in the US non-communicable disease population[J]. BMC Public Health, 2023, 23(1): 422.
[11] 马芳,杨万东,杨硕.西部地区学前儿童屏幕暴露现况:父母态度、限制性调解及亲子共视的影响[J].学前教育研究,2025,(9):38-48.
Ma F, Yang WD, Yang S. The status quo of screen exposure of preschool children in the western region: The influence of parental attitudes, restrictive mediation andparent-child co-viewing[J].Studies in Early Childhood Education 2025, (9):38-48.(in Chinese)
[12] Lai WJ, Wu HR, Yang LW, et al. Prevalence of unhealthy behaviors and their associations with non-suicidal self-injury, suicidal ideation and suicide attempt among Chinese adolescents[J]. Child Adolesc Psychiatry Ment Health, 2024, 18(1):61.
[13] Namimi-Halevi C, Dor C, Dichtiar R, et al. Attention-deficit hyperactivity disorder is associated with risky and unhealthy behaviours among adolescents[J]. Public Health, 2024, 237: 51-56.
[14] Rodriguez-Mireles S, Lopez-Valcarcel BG, Galdos-Arias P, et al. Socioeconomic disparities in diet and physical activity in children: Evidence from well-child visit electronic health records in the Canary Islands, Spain[J]. J Epidemiol Community Health, 2024, 78(6): 354-359.
[15] Kantomaa MT, Tammelin TH, Nayha S, et al. Adolescents' physical activity in relation to family income and parents' education[J]. Prev Med, 2007, 44(5): 410-415.
[16] Chen J, Ruan XX, Fu T, et al. Sedentary lifestyle, physical activity, and gastrointestinal diseases: Evidence from mendelian randomization analysis[J]. EBioMedicine, 2024, 103: 105110.
[17] Huang ZH, Tong C, Cheng RM, et al. Sleep status and its association with dietary habits among children and adolescents in Shandong Province, China: A cross-sectional study[J]. BMC Public Health, 2025, 25(1).
[18] Hartstein LE, Mathew GM, Reichenberger DA, 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.
[19] 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 WM, Liu YH, et al. Prevalence of bedtime delay and its influencing factors in school-age students[J]. Chinese Journal of Health Education,2024, 40 (10): 901-906.(in Chinese)
[20] Amin F, Sankari A. Sleep Insufficiency[M]. StatPearls Publishing, 2025.
[21] Sampasa-Kanyinga H, Colman I, Goldfield GS, et al. Combinations of physical activity, sedentary time, and sleep duration and their associations with depressive symptoms and other mental health problems in children and adolescents: A systematic review[J]. Int J Behav Nutr Phys Act, 2020, 17(1).
[22] Large JF, Madigan C, Pradeilles R, et al. Impact of unhealthy food and beverage consumption on children's risk of dental caries: A systematic review[J]. Nutr Rev, 2024, 82(11): 1539-1555.
[23] Zhang EL, Chen JC, Liu YJ, et al. Associations between joint lifestyle behaviors and depression among children and adolescents: A large cross-sectional study in China[J]. J Affect Disord, 2024, 352: 110-114.
[24] Hahnefeld A, Fink M, Beherec SL, et al. Correlation of screen exposure to stress, learning, cognitive and language performance in children[J]. Eur Child Adolesc Psychiatry, 2025, 34(5): 1615-1624.
[25] Spiga F, Davies AL, Tomlinson E, et al. Interventions to prevent obesity in children aged 5 to 11 years old[J]. Cochrane Database Syst Rev, 2024, 5(5): Cd015328.
[26] Li B, Valerino-Perea S, Zhou WW, et al. The impact of the world's first regulatory, multi-setting intervention on sedentary behaviour among children and adolescents (ENERGISE): A natural experiment evaluation[J]. Int J Behav Nutr Phys Act, 2024, 21(1): 53.

基金

山东省自然科学基金面上项目(ZR2022MH030);山东省儿童青少年生长发育与健康管理专项课题(JKZX2023002)

PDF(1062 KB)

Accesses

Citation

Detail

段落导航
相关文章

/