留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

上海市中学生健康危险行为聚集模式分析

朱艳 史慧静 罗春燕

朱艳, 史慧静, 罗春燕. 上海市中学生健康危险行为聚集模式分析[J]. 中国学校卫生, 2023, 44(8): 1145-1150. doi: 10.16835/j.cnki.1000-9817.2023.08.006
引用本文: 朱艳, 史慧静, 罗春燕. 上海市中学生健康危险行为聚集模式分析[J]. 中国学校卫生, 2023, 44(8): 1145-1150. doi: 10.16835/j.cnki.1000-9817.2023.08.006
ZHU Yan, SHI Huijing, LUO Chunyan. Cluster analysis of health risk behaviors among secondary school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(8): 1145-1150. doi: 10.16835/j.cnki.1000-9817.2023.08.006
Citation: ZHU Yan, SHI Huijing, LUO Chunyan. Cluster analysis of health risk behaviors among secondary school students in Shanghai[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(8): 1145-1150. doi: 10.16835/j.cnki.1000-9817.2023.08.006

上海市中学生健康危险行为聚集模式分析

doi: 10.16835/j.cnki.1000-9817.2023.08.006
基金项目: 

上海市第五轮公共卫生三年行动计划重点学科项目 GWV-10.1-XK08

2022—2024年健康上海行动项目 JKSHZX-2022-10

详细信息
    作者简介:

    朱艳(1981-),女,河南光山人,在读硕士,主要研究方向为疾病预防与控制

    通讯作者:

    罗春燕,E-mail:luochunyan@scdc.sh.cn

  • 利益冲突声明  所有作者声明无利益冲突。
  • 中图分类号: C913.5  R179  B844.2

Cluster analysis of health risk behaviors among secondary school students in Shanghai

  • 摘要:   目的  探索上海市中学生健康危险行为聚集模式,为实施针对性的干预措施提供依据。  方法  于2021年5—6月采用分层随机整群抽样方法从上海市不同学段中抽取21所初中、普通高中及中职学校,采取学生自填问卷的形式调查6 092名学生健康危险行为的发生情况。样本聚类分析采用Ward离差和平方法。  结果  共发现3类聚集特征:受欺凌郁闷组(1 004名,16.5%),以被欺凌、心情郁闷(64.9%)、孤独感(48.2%)、失眠(42.4%)等为主要特征;电子游戏超时及不健康饮食组(1 585名,26.0%),以玩电子游戏超时(53.1%)及含糖饮料(89.3%)、油炸食物摄入(79.0%)为主要特征;低吸烟饮酒组(3 503名,57.5%),以“0”饮酒率和极低吸烟率(0.4%)为主要特征。3组学生的含糖饮料摄入、油炸食物摄入、体力活动不足、被恶意取笑、被索取财物、被孤立/被有意排挤在集体活动之外、被威胁恐吓、被踢/打/推/挤或关屋里、吸烟、不健康减肥、玩电子游戏超时报告率差异均有统计学意义(χ2值分别为36.74,41.85,30.07,652.68,334.40,669.89,358.84,233.12,101.46,88.45,230.15,P值均 < 0.01),3组学生的孤独感、心情郁闷、失眠和饮酒报告率差异均有统计学意义(Fisher精确概率,P值均 < 0.01)。受欺凌郁闷组初中生、普通高中学生、女生较多;电子游戏超时及不健康饮食组中男生、普通高中及初中生居多。  结论  上海市中学生健康危险行为存在聚集,集中表现在不良生活方式及心理健康两大方面。可根据健康相关危险行为聚集的特征实施针对性的干预措施,以提高干预效果。
    1)  利益冲突声明  所有作者声明无利益冲突。
  • 图  1  上海市中学生健康危险行为聚集模式特征

    Figure  1.  Characteristics of health risk behavior aggregation patterns of secondary school students in Shanghai City

    表  1  上海市不同人口统计学特征青少年健康危险行为报告率比较

    Table  1.   Comparison of reported health risk behaviors among adolescents in different demographic characteristics in Shanghai City

    人口统计学指标 人数 统计值 摄入含糖饮料 摄入油炸食物 体力活动不足 孤独感 心情郁闷 失眠 被恶意取笑 被索取财物
    性别 3 234 2 736(84.6) 2 368(73.2) 899(27.8) 353(10.9) 561(17.4) 285(8.8) 851(26.3) 144(4.5)
    2 858 2 435(85.2) 2 093(73.2) 1 242(43.5) 412(14.4) 778(27.2) 313(11.0) 525(18.4) 65(2.3)
    χ2 0.42 0.00 163.21 16.93 86.27 7.84 54.77 21.73
    P 0.52 0.99 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01
    学段 初中 3 084 2 537(82.3) 2 045(66.3) 825(26.8) 380(12.3) 707(22.9) 330(10.7) 805(26.1) 103(3.3)
    普通高中 1 994 1 716(86.1) 1 610(80.7) 867(43.5) 286(14.3) 561(28.1) 188(9.4) 374(18.8) 74(3.7)
    中职校 1 014 918(90.5) 806(79.5) 449(44.3) 99(9.8) 71(7.0) 80(7.9) 197(19.4) 32(3.2)
    χ2 43.86 152.98 193.24 13.16 178.30 7.31 44.32 0.78
    P < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 0.03 < 0.01 0.68
    人口统计学指标 人数 统计值 被孤立/被有意排挤在集体活动之外 被恐吓威胁 被踢/打/推/挤或关屋里 吸烟 饮酒 不健康减肥 玩电子游戏超时
    性别 3 234 329(10.2) 203(6.3) 189(5.8) 79(2.4) 563(17.4) 1 152(35.6) 1 402(43.4)
    2 858 304(10.6) 91(3.2) 80(2.8) 30(1.1) 392(13.7) 1 471(51.5) 892(31.2)
    χ2 0.35 31.60 33.33 16.76 15.65 155.42 95.27
    P 0.55 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01
    学段 初中 3 084 382(12.4) 179(5.8) 171(5.5) 33(1.1) 327(10.6) 1 246(40.4) 802(26.0)
    普通高中 1 994 168(8.4) 85(4.3) 68(3.4) 27(1.4) 422(21.2) 940(47.1) 727(36.5)
    中职校 1 014 83(8.2) 30(3.0) 30(3.0) 49(4.8) 206(20.3) 437(43.1) 765(75.4)
    χ2 26.76 15.50 19.19 64.67 121.97 22.44 796.29
    P < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01
    注:()内数字为报告率/%。
    下载: 导出CSV

    表  2  上海市不同聚集模式行为组青少年健康危险行为报告率比较

    Table  2.   Comparison of reported health risk behaviors among adolescents in different behavior clusters in Shanghai City

    组别 人数 含糖饮料摄入 油炸食物摄入 体力活动不足 孤独感 心情郁闷 失眠 被恶意取笑 被索取财物
    受欺凌郁闷组 1 004 858(85.5) 744(74.1) 428(42.6) 484(48.2) 652(64.9) 426(42.4) 535(53.3) 130(13.0)
    电子游戏超时及不健康饮食组 1 585 1 415(89.3) 1 252(79.0) 545(34.4) 78(4.9) 188(11.9) 57(3.6) 292(18.4) 39(2.5)
    低吸烟饮酒组 3 503 2 898(82.7) 2 465(70.4) 1 168(33.3) 203(5.8) 499(14.2) 115(3.3) 115(15.7) 40(1.1)
    χ2 36.74 41.85 30.07 652.68 334.40
    P < 0.01 < 0.01 < 0.01 < 0.01* < 0.01* < 0.01* < 0.01 < 0.01
    组别 人数 被孤立/被有意排挤在集体活动之外 被威胁恐吓 被踢/打/推/挤或关屋里 吸烟 饮酒 不健康减肥 玩电子游戏超时
    受欺凌郁闷组 1 004 333(33.2) 166(16.5) 135(13.5) 46(4.6) 380(37.9) 555(55.3) 370(36.9)
    电子游戏超时及不健康饮食组 1 585 90(5.7) 42(2.7) 48(3.0) 50(3.2) 575(36.3) 708(44.7) 842(53.1)
    低吸烟饮酒组 3 503 210(6.0) 86(2.5) 86(2.5) 13(0.4) 0 1 360(38.8) 1 082(30.9)
    χ2 669.89 358.84 233.12 101.46 88.45 230.15
    P < 0.01 < 0.01 < 0.01 < 0.01 < 0.01* < 0.01 < 0.01
    注:*为Fisher精确概率法;()内数字为报告率/%。
    下载: 导出CSV

    表  3  上海市中学生不同特征构成在各健康危险行为组间比较

    Table  3.   Comparison of different types of homeowners among different health risk behavior group among middle school students in Shanghai City

    特征 选项 受欺凌郁闷组(n=1 004) 电子游戏超时及不健康饮食组(n=1 585) 低吸烟饮酒组(n=3 503) χ2 P
    性别 463(46.1) 984(62.1) 1 787(51.0) 77.13 < 0.01
    541(53.9) 601(37.9) 1 716(49.0)
    学段 初中 478(47.6) 528(33.3) 2 078(59.3) 348.22 < 0.01
    普高 415(41.3) 669(42.2) 910(26.0)
    中职 111(11.1) 388(24.5) 515(14.7)
    兄弟姐妹个数 0 723(72.0) 1 201(75.8) 2 591(74.0) 5.10 0.28
    1~2 268(26.7) 370(23.3) 872(24.9)
    ≥3 13(1.3) 14(0.9) 40(1.1)
    母亲文化程度 初中及以下 197(19.6) 316(19.9) 638(18.2) 26.95 < 0.01
    高中/中专 215(21.4) 431(27.2) 781(22.3)
    大专 229(22.8) 344(21.7) 794(22.7)
    本科 311(31.0) 426(26.9) 1 090(31.1)
    研究生及以上 52(5.2) 68(4.3) 200(5.7)
    父亲文化程度 初中及以下 180(17.9) 290(18.3) 520(14.8) 27.81 < 0.01
    高中/中专 218(21.7) 424(26.8) 837(23.9)
    大专 208(20.7) 325(20.5) 803(22.9)
    本科 325(32.4) 445(28.1) 1 070(30.6)
    研究生及以上 73(7.3) 101(6.4) 273(7.8)
    是否住校 156(15.5) 290(18.3) 389(11.1) 51.13 < 0.01
    848(84.5) 1 295(81.7) 3 114(88.9)
    家庭类型 非重组 936(93.2) 1 493(94.2) 3 352(95.7) 11.93 < 0.01
    重组 68(6.8) 92(5.8) 151(4.3)
    家庭社会经济地位满意度 不满意 293(29.2) 316(19.9) 520(14.8) 169.92 < 0.01
    一般 363(36.2) 633(39.9) 1 163(33.2)
    满意 348(34.7) 636(40.1) 1 820(52.0)
    注:()内数字为构成比/%。
    下载: 导出CSV
  • [1] AHMADI-MONTECALVO H, LILLY C L, ZULLIG K J, et al. A latent class analysis of the co-occurrence of risk behaviors among adolescents[J]. Am J Health Behav, 2019, 43(3): 449-463. doi: 10.5993/AJHB.43.3.1
    [2] AKASAKI M, PLOUBIDIS G B, DODGEON B, et al. The clustering of risk behaviours in adolescence and health consequences in middle age[J]. J Adolesc, 2019, 77: 188-197. doi: 10.1016/j.adolescence.2019.11.003
    [3] MEADER N, KING K, MOE-BYRNE T, et al. A systematic review on the clustering and co-occurrence of multiple risk behaviours[J]. BMC Public Health, 2016, 16: 657. doi: 10.1186/s12889-016-3373-6
    [4] 马军. 儿童青少年主要健康问题和研究热点[J]. 中国学校卫生, 2020, 41(9): 1281-1284. doi: 10.16835/j.cnki.1000-9817.2020.09.001

    MA J. Major health issues and research hotspots in child and adolescent health[J]. Chin J Sch Health, 2020, 41(9): 1281-1284. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2020.09.001
    [5] Centers for Disease Control and Prevention. Youth risk behavior survey data summary & trends report: 2011-2021[EB/OL]. (2023-02-13)[2023-03-15]. https://www.cdc.gov/healthyyouth/data/yrbs/pdf/YRBS_Data-Summary-Trends_Report2022_508.pdf.
    [6] 马军, 董彦会, 王鑫鑫, 等. 中国儿童青少年健康危险行为状况分析报告[J]. 中国校外教育, 2022(6): 61-78. https://www.cnki.com.cn/Article/CJFDTOTAL-XWLL202206007.htm

    MA J, DONG Y H, WANG X X, et al. Analysis of health risk behaviors of Chinese children and adolescents[J]. Aftersch Educ Chin, 2022(6): 61-78. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XWLL202206007.htm
    [7] UDDIN R, LEE E Y, KHAN S R, 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. doi: 10.1016/j.ypmed.2019.105955
    [8] CHAMPION K E, MATHER M, SPRING B, et al. Clustering of multiple risk behaviors among a sample of 18-year-old Australians and associations with mental health outcomes: a latent class analysis[J]. Front Public Health, 2018, 6: 135. doi: 10.3389/fpubh.2018.00135
    [9] WIJBENGA L, DE WINTER A F, ALMANSA J, et al. Multiple health risk behaviors and mental health from a life course perspective: the Dutch TRAILS study[J]. Prev Med, 2022, 154: 106870. doi: 10.1016/j.ypmed.2021.106870
    [10] 罗春燕, 彭宁宁, 周月芳, 等. 上海市青少年危险行为聚集现象分析[J]. 中国校医, 2004(3): 193-195. https://www.cnki.com.cn/Article/CJFDTOTAL-XIYI200403000.htm

    LUO C Y, PENG N N, ZHOU Y F, et al. Analysis of collective risk behaviors among youth in Shanghai[J]. Chin J School Doctor, 2004(3): 193-195. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XIYI200403000.htm
    [11] 季成叶. 中国青少年健康相关/危险行为调查综合报告2005[M]. 北京: 北京大学医学出版社, 2005.

    JI C Y. A comprehensive report on the survey of health-related/risky behaviors among Chinese adolescents 2005[M]. Beijing: Peking University Medical Press, 2005. (in Chinese)
    [12] ZWEIG J M, LINDBERG L D, MCGINLEY K A. Adolescent health risk profiles: the co-occurrence of health risks among females and males[J]. J Youth Adolesc, 2001, 30(6): 707-728. doi: 10.1023/A:1012281628792
    [13] ROSINGER A, HERRICK K, GAHCHE J, et al. Sugar-sweetened beverage consumption among U.S. Youth, 2011-2014[J]. NCHS Data Brief, 2017(271): 1-8.
    [14] 马志敏, 郝晓燕, 王东阳, 等. 中国膳食模式的特征、分布及其与健康相关性研究进展[J]. 食品工业科技, 2023, 44(10): 396-405. https://www.cnki.com.cn/Article/CJFDTOTAL-SPKJ202310050.htm

    MA Z M, HAO X Y, WANG D Y, et al. The evolution and distribution of dietary patterns in China and the research progress of its correlation with health[J]. Sci Technol Food Ind, 2023, 44(10): 396-405. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SPKJ202310050.htm
    [15] MADIGAN S, EIRICH R, PADOR P, et al. Assessment of changes in child and adolescent screen time during the COVID-19 pandemic: a systematic review and Meta-analysis[J]. JAMA Pediatr, 2022, 176(12): 1188-1198. doi: 10.1001/jamapediatrics.2022.4116
    [16] XIANG M, ZHANG Z, KUWAHARA K. Impact of COVID-19 pandemic on children and adolescents' lifestyle behavior larger than expected[J]. Prog Cardiovasc Dis, 2020, 63(4): 531-532. doi: 10.1016/j.pcad.2020.04.013
    [17] ZHU Z, TANG Y, ZHUANG J, et al. Physical activity, screen viewing time, and overweight/obesity among Chinese children and adolescents: an update from the 2017 physical activity and fitness in China-the youth study[J]. BMC Public Health, 2019, 19(1): 197. doi: 10.1186/s12889-019-6515-9
    [18] ZHAO W, SU D, MO L, et al. Lifestyle clusters and cardiometabolic risks in adolescents: a Chinese school-based study using a latent class analysis approach[J]. Front Pediatr, 2021, 9: 728841. doi: 10.3389/fped.2021.728841
    [19] ZHOU J, LI X, ZOU Y, et al. Longitudinal relations among family dysfunction, depressive symptoms, and cyberbullying involvement in Chinese early adolescents: disentangling between and within-person associations[J]. Dev Psychopathol, 2022: 1-9. DOI:10.1017/s095457942 2001274.
    [20] D'SOUZA N J, KUSWARA K, ZHENG M, et al. A systematic review of lifestyle patterns and their association with adiposity in children aged 5-12 years[J]. Obes Rev, 2020, 21(8): e13029.
    [21] HANSON S K, MUNTHALI R J, MICKLESFIELD L K, et al. Longitudinal patterns of physical activity, sedentary behavior and sleep in urban South African adolescents, birth-to-twenty plus cohort[J]. BMC Pediatr, 2019, 19(1): 241. doi: 10.1186/s12887-019-1619-z
    [22] PARKER K, TIMPERIO A, SALMON J, et al. Activity-related typologies and longitudinal change in physical activity and sedentary time in children and adolescents: the UP&DOWN study[J]. J Sport Health Sci, 2021, 10(4): 447-453. doi: 10.1016/j.jshs.2020.02.004
    [23] GARDNER L A, CHAMPION K E, PARMENTER B, et al. Clustering of six key risk behaviors for chronic disease among adolescent females[J]. Int J Environ Res Public Health, 2020, 17(19): 7211. doi: 10.3390/ijerph17197211
    [24] NOLEN-HOEKSEMA S. Emotion regulation and psychopathology: the role of gender[J]. Ann Rev Clin Psychol, 2012, 8: 161-187.
    [25] 史慧静, 谭晖. 儿童青少年卫生学[M]. 上海: 复旦大学出版社, 2014.

    SHI H J, TAN H. Child and adolescent health[M]. Shanghai: Fudan University Press, 2014. (in Chinese)
    [26] SYLVETSKY A C, VISEK A J, HALBERG S, et al. Beyond taste and easy access: physical, cognitive, interpersonal, and emotional reasons for sugary drink consumption among children and adolescents[J]. Appetite, 2020, 155: 104826.
    [27] 王誉铮. 青少年体像烦恼的影响因素及其注意偏向的实证研究[D]. 海口: 海南师范大学, 2020.

    WANG Y Z. An empirical study on the influencing factors and attentional bias of teenagers' body image anxiety[D]. Haikou: Hainan Normal University, 2020. (in Chinese)
    [28] 文小桐, 陈飞宇, 李旭阳, 等. 农村地区高中生体重自我评价与饮食行为习惯分析[J]. 中国公共卫生, 2020, 36(2): 174-177. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202002011.htm

    WEN X T, CHEN F Y, LI X Y, et al. Self-evaluation of weight and eating habits among rural high school students[J]. Chin J Public Health, 2020, 36(2): 174-177. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202002011.htm
    [29] STEVENS M W, DORSTYN D, DELFABBRO P H, et al. Global prevalence of gaming disorder: a systematic review and Meta-analysis[J]. Aust N Z J Psychiatry, 2021, 55(6): 553-568.
    [30] 徐涛, 张天成, 张福兰. 湘西州农村初中生健康危险行为聚集特征及多发特点分析[J]. 中国慢性病预防与控制, 2021, 29(12): 892-897. https://www.cnki.com.cn/Article/CJFDTOTAL-ZMXB202112003.htm

    XU T, ZHANG T C, ZHANG F L. Cluster and multiple characteristics of health risk behaviors of rural junior high school students in Xiangxi Autonomous Prefecture[J]. Chin J Prev Control Chron Dis, 2021, 29(12): 892-897. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZMXB202112003.htm
    [31] 张桂蓉, 顾妮. 中国中小学生校园欺凌相关因素的Meta分析[J]. 中国心理卫生杂志, 2022, 36(1): 37-43. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202201006.htm

    ZHANG G R, GU N. A Meta-analysis of related factors of school bullying among primary and middle school students in China[J]. Chin Ment Health J, 2022, 36(1): 37-43. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202201006.htm
    [32] 王雅娟. 青少年对食物线索与负性情绪的内隐联结: 情绪性进食的调节作用[D]. 重庆: 西南大学, 2020.

    WANG Y J. Implicit asscociation between food cues and negative emotions in adolescents: the regulatory role of emotional eating[D]. Chongqing: Southwest University, 2020. (in Chinese)
    [33] ATORKEY P, OWIREDUA C. Clustering of multiple health risk behaviours and association with socio-demographic characteristics and psychological distress among adolescents in Ghana: a latent class analysis[J]. SSM Popul Health, 2021, 13: 100707.
    [34] YANG Y, LIU X, LIU Z Z, et al. Life stress, insomnia, and anxiety/depressive symptoms in adolescents: a three-wave longitudinal study[J]. J Affect Disord, 2023, 322: 91-98.
    [35] WIJNANT K, KLOSOWSKA J, BRAET C, et al. Stress responsiveness and emotional eating depend on youngsters' chronic stress level and overweight[J]. Nutrients, 2021, 13(10): 3654.
    [36] 贾继超. 压力性生活事件与青少年网络成瘾[D]. 武汉: 华中师范大学, 2019.

    JIA J C. Stressful life events and adolescent internet addiction: a 3-year prospective study[D]. Wuhan: Central China Normal University, 2019. (in Chinese)
    [37] DE COCK N, VAN LIPPEVELDE W, GOOSSENS L, et al. Sensitivity to reward and adolescents' unhealthy snacking and drinking behavior: the role of hedonic eating styles and availability[J]. Int J Behav Nutr Phys Act, 2016, 13: 17.
    [38] NELSON E E, LEIBENLUFT E, MCCLURE E B, et al. The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology[J]. Psychol Med, 2005, 35(2): 163-174.
    [39] MATHUR M R, SINGH A, MISHRA V K, et al. Socioeconomic inequalities in clustering of health-compromising behaviours among Indian adolescents[J]. Ind J Commun Med, 2020, 45(2): 139-144.
    [40] KINO S, BERNABÉ E, SABBAH W. Socioeconomic inequality in clusters of health-related behaviours in Europe: latent class analysis of a cross-sectional European survey[J]. BMC Public Health, 2017, 17(1): 497.
  • 加载中
图(1) / 表(3)
计量
  • 文章访问数:  293
  • HTML全文浏览量:  142
  • PDF下载量:  55
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-12-23
  • 修回日期:  2023-04-11
  • 网络出版日期:  2023-08-26
  • 刊出日期:  2023-08-25

目录

    /

    返回文章
    返回