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

南京市中小学生2019—2021学年因病缺课监测分析

杨月 叶盛 刘辉 刘黎

杨月, 叶盛, 刘辉, 刘黎. 南京市中小学生2019—2021学年因病缺课监测分析[J]. 中国学校卫生, 2022, 43(12): 1835-1838. doi: 10.16835/j.cnki.1000-9817.2022.12.018
引用本文: 杨月, 叶盛, 刘辉, 刘黎. 南京市中小学生2019—2021学年因病缺课监测分析[J]. 中国学校卫生, 2022, 43(12): 1835-1838. doi: 10.16835/j.cnki.1000-9817.2022.12.018
YANG Yue, YE Sheng, LIU Hui, LIU Li. Sickness absenteeism among primary and middle school students in Nanjing during 2019-2021[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(12): 1835-1838. doi: 10.16835/j.cnki.1000-9817.2022.12.018
Citation: YANG Yue, YE Sheng, LIU Hui, LIU Li. Sickness absenteeism among primary and middle school students in Nanjing during 2019-2021[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(12): 1835-1838. doi: 10.16835/j.cnki.1000-9817.2022.12.018

南京市中小学生2019—2021学年因病缺课监测分析

doi: 10.16835/j.cnki.1000-9817.2022.12.018
详细信息
    作者简介:

    杨月(1995-),女,江苏淮安人,硕士,医师,主要从事儿少卫生与妇幼保健工作

    通讯作者:

    刘黎,E-mail: 895047907@qq.com

  • 利益冲突声明  所有作者声明无利益冲突。
  • 中图分类号: R179 G478 R193

Sickness absenteeism among primary and middle school students in Nanjing during 2019-2021

  • 摘要:   目的  分析2019—2021学年南京市中小学生因病缺课情况,为进一步做好校园新型冠状病毒肺炎(以下简称“新冠肺炎”)疫情和常见传染病预防工作提供参考。  方法  利用“江苏省学生健康监测系统”,收集并整理2019—2021学年南京市中小学生因病缺课监测数据,比较不同学年和学段学生因病缺课率,症状和病因构成以及时间分布。  结果  2019—2021学年南京市中小学生总体因病缺课率分别为0.25%,0.39%和0.73%(χ2=392 611.44,P < 0.01);各学年小学因病缺课率均高于其他学段(χ2值分别为47 783.45,20 935.07,13 459.63,P值均 < 0.01)。各学年因病缺课症状构成排名前2位是发热和咳嗽,病因构成是感冒和胃肠道疾病。2021学年因意外伤害缺课排位有所上升,居缺课疾病排位第4。2019和2021学年因病缺课高峰均在11—12和3—4月,2020学年受新冠肺炎疫情影响第2高峰延至6月。  结论  南京市中小学生因病缺课率逐年上升,小学生是重点关注人群。呼吸道和胃肠道疾病是校内常见病预防重点,冬春季是流行高发期。加强因病缺课监测对新冠肺炎疫情常态化下校内常见传染病防控具有重要意义。
    1)  利益冲突声明  所有作者声明无利益冲突。
  • 图  1  南京市中小学生2019—2021学年因病缺课时间分布

    Figure  1.  Time distribution of illness-induced absenteeism among primary and middle school students in Nanjing during 2019-2021 academic years

    表  1  不同学校类型中小学生2019—2021学年因病缺课情况

    Table  1.   Status of illness-induced absenteeism among primary and middle school students in different periods during 2019-2021 academic years

    学校类型 2019学年 2020学年 2021学年
    因病缺课率/% 人均因病缺课天数/d 因病缺课率/% 人均因病缺课天数/d 因病缺课率/% 人均因病缺课天数/d
    小学 0.33 1.43 0.46 1.38 0.80 2.62
    初中 0.19 1.31 0.31 1.39 0.65 2.93
    九年一贯制 0.24 1.36 0.41 1.46 0.77 2.92
    普通高中 0.09 1.46 0.32 1.61 0.61 3.40
    十二年一贯制 0.25 1.73 0.36 1.68 0.68 3.22
    完中 0.22 1.47 0.34 1.36 0.69 2.88
    职业高中 0.14 1.28 0.21 1.61 0.59 2.76
    下载: 导出CSV

    表  2  南京市中小学生因病缺课症状人次数2019—2021学年构成情况

    Table  2.   Symptoms composition of illness-induced absenteeism among primary and middle school students in Nanjing during 2019-2021 academic years

    症状 2019学年(n=293 492) 2020学年(n=578 586) 2021学年(n=880 012)
    发热 126 041(42.95) 148 367(25.64) 127 323(14.47)
    咳嗽 34 568(11.78) 74 972(12.96) 98 654(11.21)
    头痛 21 725(7.40) 47 961(8.29) 91 650(10.41)
    腹痛 17 774(6.06) 42 874(7.41) 84 720(9.63)
    皮疹 17 271(5.88) 18 203(3.15) 30 811(3.50)
    咽痛 11 974(4.08) 51 631(8.92) 75 357(8.56)
    呕吐 10 612(3.62) 17 170(2.97) 40 901(4.65)
    腹泻 7 607(2.59) 17 656(3.05) 30 223(3.43)
    受伤 7 446(2.54) 13 646(2.36) 31 730(3.61)
    流涕 2 831(0.96) 30 430(5.26) 41 922(4.76)
    头晕 1 987(0.68) 10 744(1.86) 22 213(2.52)
    耳朵痛 917(0.31) 1 629(0.28) 3 072(0.35)
    红眼 630(0.22) 1 023(0.17) 1 210(0.14)
    鼻子痒、干 498(0.17) 1 769(0.31) 3 051(0.35)
    打喷嚏 443(0.15) 2 223(0.38) 4 836(0.55)
    鼻血 392(0.13) 1 363(0.23) 1 634(0.18)
    呼吸困难(气急) 372(0.13) 695(0.12) 870(0.10)
    有喘鸣 244(0.08) 506(0.09) 933(0.11)
    嗓子哑(异物感) 89(0.03) 590(0.10) 1 149(0.13)
    嗜睡或不易叫醒 90(0.03) 91(0.02) 141(0.02)
    抽搐 69(0.02) 94(0.02) 275(0.03)
    新冠肺炎相关症状 1(0.00)
    其他 29 912(10.19) 94 949(16.41) 187 336(21.29)
    n为人次;()内数字为构成比/%。
    下载: 导出CSV

    表  3  南京市中小学生因病缺课病因2019—2021学年构成情况

    Table  3.   Diseases composition of illness-induced absenteeism among primary and middle school students in Nanjing during 2019-2021 academic years

    症状 2019学年(n=255 668) 2020学年(n=519 149) 2021学年(n=802 668)
    感冒 142 333(55.67) 248 466(47.86) 304 263(37.91)
    胃肠道疾病 22 350(8.74) 46 129(8.89) 84 100(10.48)
    水痘 14 671(5.74) 12 817(2.47) 19 619(2.44)
    气管炎、肺炎 8 182(3.20) 11 825(2.28) 12 891(1.61)
    意外伤害 5 193(2.03) 7 754(1.49) 15 875(1.98)
    耳鼻喉疾病 2 597(1.02) 7 701(1.48) 10 911(1.36)
    手足口病 2 260(0.88) 590(0.11) 4 321(0.54)
    牙科疾病和检查 1 420(0.56) 3 087(0.59) 7 337(0.91)
    腮腺炎 832(0.33) 1 150(0.22) 1 909(0.24)
    猩红热 457(0.18) 599(0.12) 398(0.05)
    神经衰弱 269(0.11) 887(0.17) 2 074(0.26)
    风疹 229(0.09) 316(0.06) 396(0.05)
    泌尿系统疾病 191(0.07) 315(0.06) 444(0.05)
    急性出血性结膜炎 186(0.07) 270(0.05) 291(0.04)
    麻疹 151(0.06) 163(0.03) 289(0.04)
    结核 83(0.03) 96(0.02) 62(0.01)
    肝炎 45(0.02) 21(0.00) 7(0.00)
    痛经 3 155(0.39)
    新冠肺炎 10(0.00) 5(0.00)
    不明原因疾病 5 915(2.31) 12 976(2.50) 19 066(2.37)
    其他 48 304(18.89) 163 977(31.60) 315 255(39.27)
    n为人次;()内数字为构成比/%。
    下载: 导出CSV
  • [1] CHEN N, ZHOU M, DONG X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study[J]. Lancet, 2020, 395(10223): 507-513. doi: 10.1016/S0140-6736(20)30211-7
    [2] ELLIOT A J, HARCOURT S E, HUGHES H E, et al. The COVID-19 pandemic: a new challenge for syndromic surveillance[J]. Epidemiol Infect, 2020, 148: e122. doi: 10.1017/S0950268820001314
    [3] 张喆, 罗春燕, 王鹏飞, 等. 2014—2015学年上海市中小学生因病缺课监测结果的初步分析[J]. 教育生物学杂志, 2016, 4(3): 140-143. https://www.cnki.com.cn/Article/CJFDTOTAL-BIOM201603010.htm

    ZHANG Z, LUO C Y, WANG P F, et al. Preliminary analysis of illness-induced absenteeism surveillance among elementary and middle school students in Shanghai during 2014-2015 academic years[J]. J Biol-Educ, 2016, 4(3): 140-143. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BIOM201603010.htm
    [4] 马荣, 何学玲, 令亚丽, 等. 乌鲁木齐市中小学2016—2019学年因病缺课监测分析[J]. 中国儿童保健杂志, 2020, 28(8): 939-942. https://www.cnki.com.cn/Article/CJFDTOTAL-ERTO202008029.htm

    MA R, HE X L, LING Y L, et al. Analysis of absence due to illness among primary and secondary schools in Urumqi during 2016-2019 academic year[J]. Chin J Child Health Care, 2020, 28(8): 939-942. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ERTO202008029.htm
    [5] 熊华威, 王赟, 吴宇, 等. 深圳市2014-2015学年中小学生因病缺课监测情况分析[J]. 实用预防医学, 2017, 24(11): 1374-1377. doi: 10.3969/j.issn.1006-3110.2017.11.028

    XIONG H W, WANG Y, WU Y, et al. Surveillance on the status of illness-induced absenteeism among primary and middle school students in Shenzhen City during the 2014-2015 academic years[J]. Pract Prev Med, 2017, 24(11): 1374-1377. (in Chinese) doi: 10.3969/j.issn.1006-3110.2017.11.028
    [6] 张玲玲, 宣国, 俞丹丹. 上海金山区中小学生2011—2015学年因病缺课监测分析[J]. 中国学校卫生, 2018, 39(6): 955-957. doi: 10.16835/j.cnki.1000-9817.2018.06.048

    ZHANG L L, XUAN G, YU D D. Analysis of absence due to illness among primary and secondary school students in Jinshan District of Shanghai during 2011-2015 academic year[J]. Chin J Sch Health, 2018, 39(6): 955-957. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2018.06.048
    [7] 郝莉, 朱冰, 施文英, 等. 2013—2017学年浙江省杭州市中小学生因病缺课监测分析[J]. 疾病监测, 2020, 35(9): 840-844. https://www.cnki.com.cn/Article/CJFDTOTAL-JBJC202009017.htm

    HAO L, ZHU B, SHI W Y, et al. Surveillance for illness-induced school absence in student s of elementary and secondary schools in Hangzhou, 2013-2017[J]. Dis Surveill, 2020, 35(9): 840-844. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JBJC202009017.htm
    [8] 成玉萍, 温晓飒, 刘小华. 新型冠状病毒肺炎应急响应期间中小学因病缺课监测分析[J]. 上海预防医学, 2021, 33(11): 1056-1058, 1064. https://www.cnki.com.cn/Article/CJFDTOTAL-SHYI202111014.htm

    CHENG Y P, WEN X S, LIU X H. Analysis of data of illness-induced absenteeism among primary and middle school students in the context of emergency response to COVID-19[J]. Shanghai J Prev Med, 2021, 33(11): 1056-1058, 1064. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SHYI202111014.htm
    [9] LAI J, HUGHES H E, MORBEY R, et al. Developing a sentinel syndromic surveillance system using school-absenteeism data, example monitoring absences over the 2020 COVID-19 pandemic[J]. Epidemiol Infect, 2021, 149: e248.
    [10] 安娜, 黄建萍, 桑军阳, 等. 南通市中小学生因病缺课监测分析[J]. 中国学校卫生, 2017, 38(1): 142-144. doi: 10.16835/j.cnki.1000-9817.2017.01.045

    AN N, HUANG J P, SANG J Y, et al. Analysis of illness-induced absenteeism surveillance among elementary and middle school students in Nantong[J]. Chin J Sch Health, 2017, 38(1): 142-144. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2017.01.045
    [11] 鲁兆恒, 鲁继光. 2014—2016学年苏州工业园区中小学学生因病缺课情况调查报告[J]. 医药前沿, 2018, 8(1): 375-376.

    LU Z H, LU J G. Investigation report on the illness-induced absenteeism among primary and secondary school students in Suzhou Industrial Park during 2014-2016 academic year[J]. Med Front, 2018, 8(1): 375-376. (in Chinese)
    [12] 屈凌霄, 罗春燕, 张喆, 等. 上海市2011—2015学年中小学生伤害的流行特征分析[J]. 中华疾病控制杂志, 2018, 22(5): 472-475, 503. https://www.cnki.com.cn/Article/CJFDTOTAL-JBKZ201805010.htm

    QU L X, LUO C Y, ZHANG Z, et al. The epidemiology of injuries among elementary and middle school students in Shanghai from 2011 to 2015 academic year[J]. Chin J Dis Control Prev, 2018, 22(5): 472-475, 503. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JBKZ201805010.htm
    [13] 张磊, 姜其家, 陈海棠, 等. 2017—2018学年盱眙县中小学校学生因病缺课监测情况分析[J]. 中国校医, 2019, 33(5): 342-343, 366. https://www.cnki.com.cn/Article/CJFDTOTAL-XIYI201905011.htm

    ZHANG L, JIANG Q J, CHEN H T, et al. Analysis of monitoring data of primary and secondary school students' absence from school in Xuyi County during 2017-2018 academic year[J]. Chin J School Doctor, 2019, 33(5): 342-343, 366. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XIYI201905011.htm
    [14] 谭领章, 沈明辉, 刘俊涛, 等. 佛山市高明区中小学生2016—2018学年因病缺课监测分析[J]. 应用预防医学, 2021, 27(3): 204-206. https://www.cnki.com.cn/Article/CJFDTOTAL-GXYX202103004.htm

    TAN L Z, SHEN M H, LIU J T, et al. Analysis of primary and secondary school students' absence due to illness during 2016-2018 academic year in Gaoming District of Foshan[J]. Appl Prev Med, 2021, 27(3): 204-206. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GXYX202103004.htm
    [15] 顾蓉艳, 张玲, 宋肖肖, 等. 基于季节性指数平滑法的学校因病缺课预测研究[J]. 中华疾病控制杂志, 2019, 23(7): 845-849, 855.

    GU R Y, ZHANG L, SONG X X, et al. Predictive study on school absences due to illness with seasonal exponential smoothing method[J]. Chin J Dis Control Prev, 2019, 23(7): 845-849, 855. (in Chinese)
    [16] 国务院联防联控机制印发《关于做好新冠肺炎疫情常态化防控工作的指导意见》[A/OL]. (2020-05-08)[2022-06-01]. http://www.gov.cn/zhengce/content/2020-05/08/content_5509896.htm.

    The Joint Prevention and Control Mechanism of the State Council issued "Guidance on doing a good job in the normalization of the prevention and control of the COVID-19"[A/OL]. (2020-05-08)[2022-06-01]. http://www.gov.cn/zhengce/content/2020-05/08/content_5509896.htm. (in Chinese)
  • 加载中
图(1) / 表(3)
计量
  • 文章访问数:  468
  • HTML全文浏览量:  156
  • PDF下载量:  80
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-06-17
  • 修回日期:  2022-08-23
  • 网络出版日期:  2022-12-30
  • 刊出日期:  2022-12-25

目录

    /

    返回文章
    返回